Correction: Detection and position evaluation of chest percutaneous drainage catheter on chest radiographs using deep learning.
[This corrects the article DOI: 10.1371/journal.pone.0305859.].
Saved in:
| Main Authors: | Duk Ju Kim, In Chul Nam, Doo Ri Kim, Jeong Jae Kim, Im-Kyung Hwang, Jeong Sub Lee, Sung Eun Park, Hyeonwoo Kim |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Public Library of Science (PLoS)
2025-01-01
|
| Series: | PLoS ONE |
| Online Access: | https://doi.org/10.1371/journal.pone.0323951 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Detection and position evaluation of chest percutaneous drainage catheter on chest radiographs using deep learning.
by: Duk Ju Kim, et al.
Published: (2024-01-01) -
A standardised comparison of chest and percutaneous drainage catheters to evaluate the applicability of the ‘French’ sizing units
by: Karan Daga, et al.
Published: (2025-01-01) -
Optimizing adult-oriented artificial intelligence for pediatric chest radiographs by adjusting operating points
by: Hyun Joo Shin, et al.
Published: (2024-12-01) -
Comparison of Pigtail Catheter With Chest Tube for Drainage of Parapneumonic Effusion in Children
by: Chien-Heng Lin, et al.
Published: (2011-12-01) -
Young girl with chest pain
by: So Eun Kim, et al.
Published: (2020-08-01)